ArticleTherapeutic innovation & regulatory science2026
Enhancing Safety Evaluations: A Comprehensive Framework for Evidence-Based Safety Assessment Using the Bradford Hill Criteria.
Article in Therapeutic innovation & regulatory science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In drug development, safety assessments must integrate data from heterogeneous sources including clinical trials, non-clinical toxicology, mechanistic evidence, and real-world evidence. At any given timepoint-such as protocol development, dose escalation, interim reviews, or regulatory safety reports-data may be incomplete, or contextually ambiguous. Teams often struggle to summarize the totality of evidence for a given safety topic in a way that is both scientifically rigorous and operationally consistent. There is a lack of a structured, reusable framework that enables critical appraisal and consistent communication of causality reasoning. Consequently, evaluations of safety information are frequently fragmented, logic trails get lost, and key conclusions may become difficult to defend or reproduce, particularly with changes in cross-functional teams or loss of institutional memory. Our framework recognizes and addresses these real-life operational challenges. We propose a structured application of the Bradford Hill Criteria (BHC) [1] that offers a "plug-and-play" architecture for organizing evidence from multiple sources consistently. The application of this framework standardizes the interpretation and also allows for the modular integration of new evidence over time. In order to achieve this, we offer a contemporary interpretation of the individual criteria in the context of safety assessments to facilitate their consistent application. Furthermore, teams are guided on mapping of data types-e.g., preclinical findings, spontaneous case reports, PK/PD data, or RWE-into a reproducible causality narrative that can be iteratively updated across the product lifecycle. Ultimately, this approach facilitates transparent communication of safety evaluations to stakeholders and supports informed decision-making in drug development and post-marketing surveillance. Practically, this structured approach can be used during safety planning [4] at critical milestones, including Investigational New Drug (IND) applications. In early clinical development, uncertainties are inevitable, and evolving safety signals must be evaluated rigorously and transparently in a comprehensive and consistent manner.
Indexed as
Identifiers
41507617What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.